Posted on: 11/09/2025
We are seeking a highly skilled Container Platform Engineer to design, implement, and manage robust container infrastructure and CI/CD pipelines. Youll work closely with development and operations teams to ensure our platforms are scalable, secure, and reliable, while driving automation and observability across the stack.
Key Responsibilities :
- Design, build, and operate scalable, resilient, and secure containerized infrastructure using tools like Kubernetes and Docker.
- Maintain and enhance CI/CD pipelines, emphasizing reliability, automation, and speed of delivery.
- Implement and manage monitoring, alerting, and incident response to ensure 24/7 system availability.
- Collaborate with development teams to optimize containerized application performance.
- Perform capacity planning and cost optimization for container workloads across environments.
- Lead root cause analysis (RCA) and post-incident reviews to continuously improve system resilience.
- Harden container platforms to meet security, compliance, and resilience standards.
- Automate infrastructure provisioning and operations using Infrastructure as Code (IaC) practices.
Required Skills & Experience :
- Strong hands-on experience with Kubernetes (EKS, GKE, OpenShift) and Docker.
- Deep understanding of Linux systems, networking, and container orchestration.
- Proficiency in at least one scripting language: Python, Bash, or Go.
- Experience with monitoring and observability tools such as Prometheus, Grafana, ELK, or Datadog.
- Familiarity with major cloud providers (AWS, GCP, Azure) and cloud-native architectures.
- Solid experience with CI/CD tools like Jenkins, GitLab CI, ArgoCD, or similar.
- Working knowledge of Infrastructure as Code tools: Terraform, Helm, Ansible.
Preferred Qualifications :
- Certification in Kubernetes (CKA/CKAD) or relevant cloud technologies.
- Experience with service mesh technologies (e.g., Istio, Linkerd).
- Familiarity with GitOps practices and tools.
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Posted By
Posted in
DevOps / SRE
Functional Area
DevOps / Cloud
Job Code
1543767
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